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In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of information integration and modeling of multi-lab and/or multi-omics data is becoming a growing one in the bioinformatics field. This book provides comprehensive coverage of these topics and will have a long-lasting impact on this evolving subject. Each chapter, written by a leader in the field, introduces state-of-the-art methods to handle information integration, experimental data, and database problems of omics data.
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BIOMEDICAL RESEARCH --- META-ANALYSIS --- BIAS --- METHODS
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Psychologie --- Psychology --- Méta-analyse. --- Meta-analysis.
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Méta-analyse. --- Psychiatrie --- Meta-analysis --- Psychiatry --- Recherche. --- Research --- Meta-Analysis --- Psychometrics --- Research Design --- Meta-Analysis as Topic --- Methodology --- Reseach --- methods --- Psychiatry - Methodology --- Psychiatry - Reseach --- Psychometrics - methods
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This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, and more. Several brand-new chapters provide a systematic “how to” approach to performing and reporting a meta-analysis from start to finish.
Meta-Analysis as Topic. --- Méta-analyse --- Meta-analysis. --- Méta-analyse --- Methods in social research (general) --- Mathematical statistics --- Meta-Analysis as Topic
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"This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian meta-analysis approaches, SEM meta-analysis are also covered. A companion R package, dmetar, is introduced in the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide"--
Meta-Analysis --- R (Computer program language) --- Meta-analysis. --- Meta-analysis --- Medicine --- Psychometrics --- Social sciences --- GNU-S (Computer program language) --- Domain-specific programming languages --- Research --- Evaluation --- Statistical methods
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"Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics"--
Meta-analysis. --- Meta-Analysis as Topic. --- MATHEMATICS / Probability & Statistics / General. --- MEDICAL / Biostatistics. --- Medicine --- Psychometrics --- Social sciences --- Research --- Evaluation --- Statistical methods --- MATHEMATICS / Probability & Statistics / General --- MEDICAL / Biostatistics --- Meta-analysis --- Meta-Analysis as Topic
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Neurophysiological and psychological modifications induced by meditation practice have been consistently addressed by neuroscience. Training meditation practice induced plasticity (Barinaga, 2003; Knight, 2004), and as a consequence several benefit for mental and physical health (Davidson & McEwen, 2012), and cognitive performance. One goal of meditation is to achieve the light of consciousness observing with equanimity (the right distance) clouds of the mind wandering. This Frontiers Research Topic brings together studies from groups of authors whose research focus on neuropsychological systems involved in meditation demonstrating how meditation activates and can modify brain areas, cognitive mechanisms and well-being.
Meditation --- fMRI --- Attention --- Neuropsychology --- Expertise --- Meta-analysis --- Research.
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